Award Data

In Phase II project, Bhawin LLC aims to fabricate the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understandin ...

This effort will extend the RL-ICE capability for low-shot object detection to operate with zero real data within the MWIR band (zero-shot learning). Our goal is to 1.) mature our software, 2.) maximize the performance benefit of synthetic data in training an object detector and, 3.) assess the trade-space of real vs synthetic data by comparing performance to a detector trained on fully real data. ...

Modern lithium ion batteries are known for their poor safety performance, with many reports of battery failure and fire having been reported. One of the major causes of battery fire is from the use of flammable solvents, such as organic carbonates, as the electrolyte. These hazards have long limited the usage of batteries in dangerous conditions, such as on the battlefield. To combat this issue, t ...

U.S. Coast Guard personnel monitoring radio transmissions of vessels at sea must be able to identify distress calls despite interference, degraded conditions, and the stressed speech of those in emergency situations. However, not all distress calls are genuine. Hoax calls can be intended as malicious pranks, due to intoxication, or to distract Coast Guard assets from other tasks such as drug inter ...

Computing systems contain increasing and changing software applications from a wide variety of vendors and sources. These applications contain numerous libraries for them to function, which are often not known to the end-user and considered a black box. When these libraries or their dependencies are discovered to have a vulnerability, the end-user relies exclusively on the software publisher to re ...

QUINN (Quantum INspired Neural Networks) is a cybersecurity implementation to be deployed alongside a machine learning system (especially a reinforcement learning, active learning, and computer vision system) to harden said system from both standard generative adversarial attacks (noise injection) and cyber-physical attacks. This protection is provided by three unique components that perform attac ...

An open source migration data repository and modeling research platform is built to facilitate the modeling of migration patterns. Cross-disciplinary collaboration is supported in this research platform by providing a centralized location for researchers to store and retrieve historical data and models, as well as to have access to computational analysis and information visualization tools tailore ...

To enhance U.S. Navy operations, a technology platform will be developed for fabricating environmentally robust, visible through near-infrared (NIR) band transparent, tapered resistivity films. After refining the operational requirements and updating the device design models, a design trade study will be performed using the measured electrical (i.e., conductivity) and optical (i.e., spectral trans ...

Modern lithium ion batteries are known for their poor safety performance, with many reports of battery failure and fire having been reported. One of the major causes of battery fire is from the use of flammable solvents, such as organic carbonates, as the electrolyte. These hazards have long limited the usage of batteries in dangerous conditions, such as on the battlefield. To combat this issue, f ...

In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...